Ok, back to the original question. I think I need to do some slight fixin' on it.
FrediFizzx wrote:FrediFizzx wrote:This expression seems a bit odd to me.
In order to get the probabilities for each of the four outcome pairs say in a large simulation, they first have to be averaged over many trials per (a-b) angle. It seems to me that in a proper simulation each of the four probabilities are going to converge to 1/4 for very large number of trials. At least that is what I am finding with our latest simulation.
Ave ++ = 0.248903
Ave -- = 0.248803
Ave +- = 0.246508
Ave -+ = 0.255786
That was for 10,000 trials. For 5 million trials,
Ave ++ = 0.249787
Ave -- = 0.249991
Ave +- = 0.250293
Ave -+ = 0.249929
Much closer to 1/4 each. So, for analytical purposes, it doesn't seem unreasonable to assign 1/4 to each of the four outcome pair probabilities.
Ok, now for the next part of this.
QM assigns for those 4 outcome probabilities,
Again, in a simulation with many trials, we have to average
and
over all the (a-b) angles. Lo and behold, when we do that we obtain,
,
,
Because
.
So, it seems to me that all of the parts of the original E(a, b) expression are all equal to 1/4. Analytically-wise.
Ok, now a question. Since all P(++)'s, etc. are equal to a 1/4 and the average of
= 1/4, etc., does that prove that
, etc. for our analytical situation? Keeping mind that P(++) and
, etc. are actually averages.
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Ok, what we actually have here for the simulation is
.
So, the question is actually this. Does,
??
Now the only way to equate those two would be by their totals or length of the lists. So, let's see. For a million trials, there are 250,000 events that are (++). and there are 250,000 events that are
which makes sense since basically there would be a 1/4 each of the sin^2 and cos^2 probabilities. So, they match quantity-wise. But what we are actually trying to find out is this,
. Is that true for our simulation? Now, we know that the probability of getting (++) for the simulation is 1/4 so
Now, we also know the average of getting,
So,
Then by virtue of what QM says about it, I think we can say that,
for both the simulation and the analytical formulas. But maybe more proof is needed?
You can send me a PM if any questions or comments.
.